发布时间：2025-01-24

文章标题：【学术成果】一篇通讯作者文章在国际学术期刊 Geomorphology 上发表

内容：

借助轨迹自动重构算法，我们系统揭示了风沙颗粒近床面碰撞行为，大幅提升了统计效率与精度~

 

Cited as: Guan, K., Zhang, Y., Han, X., Lin, Y., Gao, X., & Yang, B. (2025). Reconstruction of aeolian sand processes at different scales utilizing the Scale-Independent Particle Tracking Velocimetry. Geomorphology, 109635.

https://doi.org/10.1016/j.geomorph.2025.109635.

 

Abstract: The aeolian sand process, encompassing information from dune migration to sand grain movement, requires accurate measurement through appropriate methods. Particle Tracking Velocimetry (PTV) excels in kinematic analysis of isolated objects, yet opportunities for further improvement remain. This study introduces a scale-independent PTV algorithm (SI-PTV) that tracks feature points using the Voronoi Diagram (VD). The effectiveness of SI-PTV in kinematic analysis at three scales is confirmed through comparison with existing data. Considering that the aeolian process is not limited to inland arid areas but also occurs in coastal regions and on islands, and coral sand, which differs morphologically from quartz sand, has been under-researched in terms of its dynamic behavior, this paper studies the dynamic parameters of coral sand using SI-PTV. The result shows that coral sand has a higher kinetic energy restitution coefficient than quartz sand, along with a stable impact angle distribution, leading to predominantly positive collisions.

 

Fig. Construction of sand-grain saltation trajectories near the sand bed. (a) High-speed photography grayscale image near the bed, with a size of 1000 × 150 pixel2 and a sampling rate of 2000 fps. (b) Superimposed image of sand grains. (c) Sand velocities and (d) trajectories reconstructed by SI-PTV, where the impact angle θi and rebound angle θr are marked by green sectors, and the impact velocity Vi and rebound velocity Vr are marked by orange arrows.